Generative artificial intelligence (AI) has significantly impacted human creativity, particularly in the realm of text-to-image generation. This study examines the effects of generative AI on human creative productivity and the value of artworks. Using data from over 53,000 artists and 5,800 AI adopters on a major art-sharing platform, the research finds that text-to-image AI increases creative productivity by 25% and enhances the value of artworks, as measured by the likelihood of receiving a favorite per view, by 50%. While average content and visual novelty decline over time, peak content novelty increases, suggesting an expanding but inefficient idea space. Artists who successfully explore novel ideas and filter model outputs for coherence benefit the most from AI tools, highlighting the importance of human ideation and artistic filtering in determining success with generative AI. The study also reveals that AI adoption leads to a more even distribution of favorites among adopters, indicating a shift towards a more democratized creative domain. However, the results suggest that the widespread adoption of generative AI could lead to a long-run equilibrium where many artifacts converge to similar content or visual features, potentially stifling exploration of new creative frontiers. Despite these challenges, the research highlights that humans assisted by generative AI who can successfully explore novel ideas may push the creative frontier, produce meaningful content, and be evaluated favorably by their peers. This phenomenon, termed "generative synesthesia," represents the harmonious blending of human exploration and AI exploitation to discover new creative workflows. The findings underscore the importance of human creativity and filtering abilities in a future where AI is integrated into creative processes.Generative artificial intelligence (AI) has significantly impacted human creativity, particularly in the realm of text-to-image generation. This study examines the effects of generative AI on human creative productivity and the value of artworks. Using data from over 53,000 artists and 5,800 AI adopters on a major art-sharing platform, the research finds that text-to-image AI increases creative productivity by 25% and enhances the value of artworks, as measured by the likelihood of receiving a favorite per view, by 50%. While average content and visual novelty decline over time, peak content novelty increases, suggesting an expanding but inefficient idea space. Artists who successfully explore novel ideas and filter model outputs for coherence benefit the most from AI tools, highlighting the importance of human ideation and artistic filtering in determining success with generative AI. The study also reveals that AI adoption leads to a more even distribution of favorites among adopters, indicating a shift towards a more democratized creative domain. However, the results suggest that the widespread adoption of generative AI could lead to a long-run equilibrium where many artifacts converge to similar content or visual features, potentially stifling exploration of new creative frontiers. Despite these challenges, the research highlights that humans assisted by generative AI who can successfully explore novel ideas may push the creative frontier, produce meaningful content, and be evaluated favorably by their peers. This phenomenon, termed "generative synesthesia," represents the harmonious blending of human exploration and AI exploitation to discover new creative workflows. The findings underscore the importance of human creativity and filtering abilities in a future where AI is integrated into creative processes.